Director of AI Solutions & Engineering

We are seeking a Director of AI Solutions & Engineering to lead the development and delivery of enterprise-grade AI solutions within the Corporate Data Office and AI team. This role combines technical expertise with strategic leadership and hands-on engineering skills, focusing on leveraging the full power of Artificial Intelligence, Machine Learning, and Data Science. The ideal candidate will own the end-to-end architecture and development of AI systems, focusing on Semantic Kernel, Azure Functions, Cosmos DB, Azure AI Search, and React-based frontends. Requirements Define and own the enterprise AI architecture blueprint to support Retrieval Augmented Generation (RAG), AI agents, machine learning pipelines, and multi-modal AI solutions. Architect and implement end-to-end AI applications using Azure Semantic Kernel, Azure Functions, Cosmos DB, Azure AI Search, and modern front-end frameworks (React/Next.js). Oversee ML model lifecycle management from feature engineering to deployment, monitoring, and retraining. Direct data science initiatives that use predictive modeling, NLP, and statistical analysis to inform and optimize business processes. Guide teams in experiment design, A/B testing, and model performance analysis. Ensure ML/AI models are explainable, ethical, and auditable, aligning with governance and compliance requirements. Direct and contribute to development across the full stack—from prompt engineering and orchestration to data pipelines, model integration, and UI/UX. Champion the use of AI-assisted coding, testing, and documentation tools to maximize team productivity. Leverage n8n and similar workflow automation platforms to orchestrate AI pipelines and integrate with business processes. Continuously evaluate and adopt cutting-edge AI frameworks, SDKs, and cloud-native services. Benefits Competitive salary Opportunities for professional development Collaborative work environment Originally posted on Himalayas